Due to rapid urbanisation and the significant contribution of cities to worldwide energy use
and greenhouse gas emissions, urban energy system planning is growing more important …

In this paper, we propose a deep learning architecture that produces accurate dense depth
for the outdoor scene from a single color image and a sparse depth. Inspired by the indoor …

Accurate rooftop solar energy potential characterization is critically important for promoting
the wide penetration of renewable energy in high-density cities. However, it has been a long …

The increasing availability of open geospatial data, such as building footprint vector data
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …

Abstract Solcast (https://solcast. com/) is a global solar forecasting and historical solar
irradiance data company. Their datasets are important to the scientific community as …

Recent years have seen a substantial increase in energy produced by renewable sources.
The International Energy Agency (IEA) expects a large portion of future growth in renewable …

Rooftop photovoltaic panels (RPVs) are being increasingly used in urban areas as a
promising means of achieving energy sustainability. Determining proper layouts of RPVs …

Remotely sensed data provide many opportunities for enhancing our understanding of the
built and natural environment. Representations of the urban landscape from light detection …

Although trees and urban vegetation have a significant influence on solar irradiation in the
built environment, their impact on daylight and energy consumption is often not considered …

Rapid growth in the global penetration of solar photovoltaic (PV) systems means electricity
network operators and electricity generators alike are increasingly concerned with the short …